Review of Ansatz Designing Techniques for Variational Quantum Algorithms

TL;DR

This paper reviews various ansatz design techniques for Variational Quantum Algorithms, focusing on improvements at the gate and pulse levels to enhance accuracy and efficiency in the NISQ era.

Contribution

It provides a comprehensive classification, evaluation, and summary of ansatz improvement methods for VQAs at different implementation levels.

Findings

Classified ansatz improvement techniques at gate and pulse levels.

Evaluated the effectiveness of different ansatz design strategies.

Summarized best practices for ansatz optimization in VQAs.

Abstract

For a large number of tasks, quantum computing demonstrates the potential for exponential acceleration over classical computing. In the NISQ era, variable-component subcircuits enable applications of quantum computing. To reduce the inherent noise and qubit size limitations of quantum computers, existing research has improved the accuracy and efficiency of Variational Quantum Algorithm (VQA). In this paper, we explore the various ansatz improvement methods for VQAs at the gate level and pulse level, and classify, evaluate and summarize them.